​
No-Code

Connect to enterprise-grade MCP servers instantly!Klavis MCP Servers - No Code CreationGet Started →

​
For Developer

Follow the instructions below to integrate Salesforce MCP server to your AI application using our API or SDK.

​
Prerequisites

​
1. Create a Salesforce MCP Server

Use the following endpoint to create a new remote Salesforce MCP server instance:

​
Request

from klavis import Klavis
from klavis.types import McpServerName

klavis_client = Klavis(api_key="<YOUR_API_KEY>")

# Create a Salesforce MCP server instance
salesforce_server = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.SALESFORCE,
    user_id="<YOUR_USER_ID>",
    platform_name="<YOUR_PLATFORM_NAME>",
)

​
Response

{
  "serverUrl": "https://salesforce-mcp-server.klavis.ai/mcp/?instance_id=<instance-id>",
  "instanceId": "<instance-id>",
  "oauthUrl": "https://api.klavis.ai/oauth/salesforce/authorize?instance_id=<instance-id>"
}
serverUrl specifies the endpoint of the Salesforce MCP server, which you can connect with the MCP client of your application.
instanceId is used for authentication and identification of your server instance. After you complete the next steps, this token allows the MCP server to access user’s private Salesforce information.

​
2. Implement OAuth Authorization

Redirect users to the OAuth authorization flow: 
import webbrowser

webbrowser.open(salesforce_server.oauth_url)
You can also specify scope and redirect_url in the authUrl. Check the API reference for more details.

​
Watch the Example

​
Explore MCP Server Tools

For more details about tool input schema, use the list_tool API.